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About me

I’m a PhD student at the Department of Computer Sciences at *Tecnológico de Monterrey 🇲🇽 and **Université de Lorraine 🇫🇷

Currently, I’m working in kidney stone classification in endoscopic images at the CV-INSIDE Lab under the direction of *Gilberto Ochoa-Ruiz and **Christian Daul

Most importantly, I’m always on the lookout for a great affogato!

Research interests

My interests are in medical image analysis, computer vision, and machine learning. This involves multidisciplinary research from computing and biomedical sciences.

I’m now working on some interesting projects:

If you want to discuss things of images, or make a collaboration, send me an email or follow me on twitter.

Cheers, Francisco 🇲🇽

Updates

Aug 21, 2024: I had the opportunity to visit the University of Leeds in the UK 🇬🇧, to present the most recent work of the automatic kidney stone identification project.

July, 22, 2024: I had the pleasure to be Presentation Chair at the LatinX in Computer Vision (LXCV) at the 2024 2024 International Conference of Machine Learning (ICML) Conference, Vienna, Austria 🇦🇹

July 3, 2024: As part of my training, I have done the second year review with the doctoral committee: Miguel Gonzalez (TEC) and Franck Marzani (ImViA, Universite de Bourgogne).
July 2, 2024: Our journal paper “A metric learning approach for endoscopic kidney stone identification” is now available at Expert Systems with Applications
July, 1st, 2024: I have arrived in France. I am here for my second stay (July to December) as part of the co-supervision between Tecnológico de Monterrey (Gudalajara, Mexico 🇲🇽) and Université de Lorraine (Nancy, France 🇫🇷).
June 26-28, 2024: At the IEEE International Symposium on Computer-Based Medical Systems (CBMS) (Guadalajara, Mexico 🇲🇽), my team and I received “Best Student Paper” with our synthetic kidney stone imaging work.

June 26-28, 2024: I had the pleasure to be Presentation Chair at the IEEE International Symposium on Computer-Based Medical Systems (CBMS) Guadalajara, Mexico 🇲🇽
Jun 18, 2024: I had the pleasure to be Presentation Chair at the LatinX in Computer Vision (LXCV) at the 2024 Computer Vision and Pattern Recognition (CVPR) Conference, Seattle, WA 🇺🇸

May 10, 2024: Our conference paper “Evaluating the plausibility of synthetic images for improving automated endoscopic stone recognition” has been accepted at the IEEE International Symposium on Computer-Based Medical Systems (CBMS) Guadalajara, Mexico 🇲🇽
Jan 8, 2024: Our journal paper “On the In Vivo Recognition of Kidney Stones Using Machine Learning” is now available at IEEE ACCESS

[Full historial]

Last update: Sept 1, 2024